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Given the growing preference for internet celebrity restaurants, it is crucial to explore how internet celebrity restaurants can maintain customer loyalty. Therefore, this study aims to examine the connections between brand cognition [emotion value, brand symbol (BS) and brand experience (BE)], brand resonance (BR) and revisit intention.

In this paper, the authors use a theoretical model to test the relationship between cognition and intention. A total of 366 volunteers were recruited to participate in this research. Hypothesis testing and a moderated mediation model were used to measure the results.

BR acts as a mediator in the interaction between emotion value, BS, experience and repurchase intention (RI). Surprisingly, the authors also discover that electronic word-of-mouth (e-WOM) acceptance negatively modifies the relationship between brand cognition and BR. Internet exposure (IE) helps consumers perceive BE and BSs more favorably.

Managers should be aware of how internet celebrity BR is built. Specifically, they can use cultural or emotional elements to maintain relationships with consumers. Furthermore, to lessen the negative consequences of e-WOM, managers should work to maintain positive WOM consistency.

The research advances our knowledge of RI in internet celebrity restaurants settings. This study pioneers an investigation of how brand cognition is related to RI through BR’s mediating effect. It enriches this research perspective of the emerging restaurant literature. By analyzing the boundary impact of internet transmission on resonance, it also advances the literature.

This paper aims to examine the effectiveness of control mechanisms in promoting collaborative performance by exploring the moderating effects of formal institutions (government support and legal enforcement in this study) and informal ties (business ties in this study) on the relationship between control mechanisms and collaborative performance.

A conceptual model is developed with the direct effects of contractual execution and relational norms on collaborative performance and the moderating effects of government support, legal enforcement and business ties on the above relationships. Hierarchical regression analysis is used to test the hypotheses based on 393 responses from Chinese computer and computer components distributors.

The empirical results generally support the conceptual model. First, consistent with most previous studies, both contractual execution and relational norms contribute to collaborative performance. Second, government support and business ties weaken the role of contractual execution, whereas legal enforcement strengthens it. Third, business ties enhance the effects of relational norms, and, unexpectedly, government support also fosters the relationship between relational norms and collaborative performance.

First, this study solves the problem of conflicting findings on the relationship between contract and performance by examining the effect of contractual execution, rather than contract design, on collaborative performance. Second, this study contributes to institutional theory by examining the moderating role of formal institutions. Third, this study deepens the understanding of the role of business ties by exploring its moderating effect on the relationship between control mechanisms and collaborative performance.

This paper attempts to extend classic absolute degree of grey incidence so that the extended model can be used for grey number sequences.

The classic absolute degree of grey incidence was extended according to basic principles of grey incidence analysis. First, modelling methods and theories of the classic grey incidences were summarized. Then, the zeroing starting operator in grey incidence was extended for grey sequence. Third, the parameters in classic incidence degree were redefined, and an absolute degree of grey incidence for grey number sequences was proposed. The degree can not only be applied to grey number sequence, but also contains the uncertain information of analysis result. Fourth, two non‐linear programming models were constructed to estimate the grey coverage interval of absolute degree of incidences. Finally, the comparison method of grey numbers was introduced for sorting the different absolute degrees of incidences.

A theoretically feasible absolute degree of grey incidence was constructed for grey sequence. A case study showed that the proposed incidence degree was an effective method for grey sequence incidence analysis.

The method exposed in the paper can be used for grey sequences clustering, grey decision making, multi‐attribute decision making theory, uncertain target recognition and other related fields.

The paper succeeded in establishing an incidence analysis model for grey sequences which was still a research gap in grey system theory.

Management response to consumer comments has become a widely adopted marketing strategy to address the undesirable effects caused by negative remarks. Yet, when and what management response is more effective and under what circumstances remains under-researched. This study aims to fill this gap.

In three experiments using five different products, the authors manipulate psychological construal level (psychological distance: distant vs proximal) and management response (response of primary vs secondary features) and thereafter assess their bearings on consumer psychological and behavioral reaction toward products of two distinctive natures (hedonic vs utilitarian).

At a psychological distance, consumers show a preferable reaction to management response of primary over secondary features. In contrast, when the psychological distance is proximal, consumers react more positively to management response of secondary than primary features. In addition, these effects vary as a function of product nature, hedonic vs utilitarian.

The findings of this research bring a significant contribution to marketing communication literature and extend the construal level theory.

A better understanding of the relative effectiveness of distinct types of management response to negative consumer comments is essential for more targeted and effective marketing strategies.

Little research has documented the effects of distinct types of management response. How psychological distance might underpin these effects has not been explored. In addition, whether the interaction effect of management response and psychological distance varies with differences in product nature, namely, hedonic and utilitarian, remains unanswered until this research.

This paper aims to study the effect of the establishment of bankruptcy courts on bond issuance market. This paper helps to predict that the introduction of bankruptcy courts in China can mitigate price distortions caused by the implicit government guarantees and promote the development of the high-risk bond market.

This paper exploits the staggered introduction of bankruptcy courts across cities to implement a differences-in-differences strategy on bond issuance data. Using bonds issued in China between 2018 and 2020, the impact of bankruptcy courts on the bond issuance market can be analyzed.

This paper reveals that bond issuance credit spreads increase and is more sensitive to firm size, profitability and downside risk of issuance entity after the introduction of bankruptcy courts. It also reveals a substantive increase in bond issuance quantity and a decrease in issuer credit ratings following the establishment of bankruptcy courts. In addition, the increase of credit spreads is more prominent for publicly traded bonds, those whose issuers located in provinces with lower judicial confidence, bonds issued by SOEs and bonds with stronger government guarantees. Finally, the role of bankruptcy courts is more pronounced in regions with higher marketization.

This paper relates to previous studies that investigate the impact of laws and institutions on external financing. It helps provide new evidence to this literature on how improvements of efficiency and quality in bankruptcy enforcements relate to the marketization of bond issuance. The results provide further evidence on legal institutions and bond financing.

Given the regional heterogeneity of economic development, electricity consumption in various regions exhibits a discrepant growth pattern. The purpose of this study is to construct a grey system forecasting model with intelligent parameters for predicting provincial electricity consumption in China.

First, parameter optimization and structural expansion are simultaneously integrated into a unified grey system prediction framework, enhancing its adaptive capabilities. Second, by setting the minimum simulation percentage error as the optimization goal, the authors apply the particle swarm optimization (PSO) algorithm to search for the optimal grey generation order and background value coefficient. Third, to assess the performance across diverse power consumption systems, the authors use two electricity consumption cases and select eight other benchmark models to analyze the simulation and prediction errors. Further, the authors conduct simulations and trend predictions using data from all 31 provinces in China, analyzing and predicting the development trends in electricity consumption for each province from 2021 to 2026.

The study identifies significant heterogeneity in the development trends of electricity consumption systems among diverse provinces in China. The grey prediction model, optimized with multiple intelligent parameters, demonstrates superior adaptability and dynamic adjustment capabilities compared to traditional fixed-parameter models. Outperforming benchmark models across various evaluation indicators such as root mean square error (RMSE), average percentage error and Theil’s index, the new model establishes its robustness in predicting electricity system behavior.

Acknowledging the limitations of traditional grey prediction models in capturing diverse growth patterns under fixed-generation orders, single structures and unadjustable background values, this study proposes a fractional grey intelligent prediction model with multiple parameter optimization. By incorporating multiple parameter optimizations and structure expansion, it substantiates the model’s superiority in forecasting provincial electricity consumption.

The purpose of this paper is to realize dynamical grey incidence order of influencing factors of grain production in Henan province using grey systems theory.

Starting from choosing influence factors on grain production and dividing the 30 years (from 1979 to 2009 year) of grain production in Henan province into three periods, the authors calculate grey incidence degree between grain yield and every influencing factor by grey incidence analysis method, respectively, then obtain the grey incidence order of influencing factors in every period. Also based on the three grey incidence orders from different periods, the authors find a changeable tendency of influencing factors on grain production and key influencing factors on grain production in different periods. Finally, to keep Henan province grain production stable and sustainable, several policy suggestions are given.

The results are convincing: it is effective and powerful to analyze dynamically influencing factors of grain production using grey systems theory, and it is urgent to strengthen agricultural science and technology input, and pay close attention to the influence of dosage of pesticide and fertilizers on grain production.

Grey incidence analysis and findings exposed in the paper can be used by agricultural firms to optimize grain production plans, and by government to formulate reasonable agricultural production policies.

The paper succeeds in getting dynamical grey incidence order of influencing factors of grain production in Henan province using grey systems theory.

This study aims to investigates the appropriate number and kinds of accounting measures managers should use in their decision-making.

The authors apply an experimental method with 54 participants who work for a utility company in Japan.

This study suggests that under information overload, in which many measures are handled simultaneously, managers who have a high Need for Cognition (NFC) can no longer use either financial or customer perspective measures effectively, while when there is no information overload, they can use those measures. Managers with low NFC do not use customer perspective measures even when information overload does not occur.

This study concludes that we need to pay careful attention to differences in managers’ NFC as well as how many and what kind of measures should be provided to managers when designing multi-measures for performance evaluation.

This paper sheds light on the relationships among the number of measures, the characteristics of measures, and managers’ cognitive style when designing a management accounting system.

Models of value creation that have been proposed for supporting value-based management are described and analyzed, including the Balanced Scorecard, the Baldrige Quality Award Criteria, the Deming Management Method, the Service-Profit Chain, and the Skandia Intellectual Capital Model. These models are compared, their potential for guiding the identification of value drivers and performance measures for value-based management is assessed, and management issues that must be addressed if such models are to contribute to long-run value creation are explored. These issues include causally linking value drivers to each other and to financial outcomes, the extent to which the models take a dynamic, or whole-system, view of value creation, and whether multiple value drivers should be explicitly weighted and combined to form a “value index.” Finally, the substantial body of research evidence linking intangible value drivers to financial outcomes is reviewed, and some directions for further research are offered.

This paper aims to enhance lubrication performance of the pitcher plant–like textured surface with various parameters.

A pitcher plant–like structure surface is fabricated on the copper alloy, and the lubrication performance of the pitcher plant–like structure with various parameters is evaluated. In addition, the pressure distribution and oil film load capacity of the pitcher plant–like surface are simulated based on Navier–Stokes equations.

When the direction of motion aligns with the pitcher plant–like structure, the friction coefficient remains lower than that of the nontextured surface, and it exhibits a decreasing trend with the increasing of the texture width and spacing distance; the lowest friction coefficient (0.04) is achieved with B = 0.3 mm, L = 1.0 mm and θ = 45°, marking a 75% reduction compared to the nontextured surface. Simulation results demonstrate that with the increase in texture width and spacing distance, the oil film load-bearing capacity demonstrates an increasing trend.

Bionic pitcher plants are prepared on the copper alloy to improve the lubrication performance and wear resistance.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-04-2024-0119/